Indoor-SfMLearner
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collapse issues when training
Hi,
I try to train my model without superpixel planar regularization. But it's likely that the training collapses and the output is all-zero. Have you faced and managed to solve this problem?
Thanks in advance.
@GengyuanMax
Sorry for the late reply. Could you describe your training setting (e.g. which datasets) in more details?
Hi, I encounter the same problem. When I set the weights of lambda_planar_reg term as 0.05, the framework can derive plausible results. However, when I simply modify 0.05 to 0, the training collapses and the depth predictions seem to be all-zero.
It should be noted that, the dataset I used is of endoscopic scenes. In theory, the framework should work better when remove the planar regularization